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Traffic Impact Analysis Method Research For Regional Multi-project Land Regulatory Plan Adjustment

Posted on:2016-04-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y J OuFull Text:PDF
GTID:2272330479993787Subject:Transportation planning and management
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With the popularization and application of traffic impact analysis(TIA) for urban construction projects in our country, the contradiction between the city land development and TIA of single projects was gradually exposed, and there were also some technical obstacles on the current research of TIA. In addition, when there is a conflict between land development and the transportation system, TIA mainly focused on improving traffic service level by increasing road infrastructure, while suggestions such as restrictions to project development intensity were usually insufficient. With the popularization of stock planning and the objective requirements of a large number of regulatory plan adjustments, land development feedback from TIA is more important. In order to solve the TIA of single project which was not adapted to the city construction and to improve the method of land development feedback from TIA. The purpose of this paper is studying regional traffic impact analysis(RTIA) method research for regional multi-project land regulatory plan adjustmentRTIA can comprehensively estimate the additive effect brought by the regional land development, and it can give suggestions on area land development under a certain level of traffic service.The main research contents include the following aspects.The first research content was studying the method of determining the impact research area of RTIA. First and foremost, summarizing the existing research of impact research area of TIA is conducted, which indicated that the existing methods were insufficient for RTIA. Then we proposed a method of determining the impact research area of RTIA, which was based on the modified spherical extrapolation method and seriously took the additive effect into consideration.Another research content was studying the correction of trip generation rate. A method based on mechanism analysis was applied to modify the trip generation rate. Through mechanism analysis for trip generation rate of typicalarchitecture, which indicated that different measure indicators for trip generation rate, who’s influencing factors were different. At last, an investigation was implemented to test the mechanism analysis, which containing 22 common houses, and the survey resultsverify the mechanism analysis is feasible.In the aspect of studying the key roads on network, the role of key roads in TIA was firstly introduced. Based on complex network theory and entropy theory, flow entropy model for key roads was put forward, then the enumerative algorithm of scanning link failure was conducted to verify the flow entropy model for key roads, which showed that the most flow entropy road did the largest effect for the service ability of the road network.The last research content was studying regional land adjustment method research, which was mainly based on the traffic flow contribution to key roads. Current method of calculating traffic flow contribution was mainly through non-balanced assignment method, whose calculation results were usually not ideal. In this paper, the maximum entropy user equilibrium assignment model to calculate the traffic flow contribution was proposed.Theoretically, this calculation results would be more suited with the real traffic. In order to solve this model, stepwise decomposition algorithm was put forward. Finally, an example of RTIA for two land regulatory plan adjustments was analyzed, which was through MATLAB to calculate the traffic flow contribution with stepwise decomposition algorithm, and the result showed that this method was feasibility.Methods research of this paper have great advantages to improve the theory of TIA, and can improve the effect of TIA to coordinate the relationship between traffic and land development.
Keywords/Search Tags:regional traffic impact analysis, impact research area, trip generation rate, key roads, traffic flow contribution
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